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An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption

Author

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  • Subramanian Selvakumar

    (Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai 600005, India)

  • Kathirvel Jeganathan

    (Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai 600005, India)

  • Krishnasamy Srinivasan

    (Department of Management, College of Business and Economics, Arba Minch University, Arba Minch 4400, Ethiopia)

  • Neelamegam Anbazhagan

    (Department of Mathematics, Alagappa University, Karaikudi 630003, India)

  • Soojeong Lee

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Gyanendra Prasad Joshi

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea)

  • Ill Chul Doo

    (Artificial Intelligence Education, Hankuk University of Foreign Studies, Dongdaemun-gu, Seoul 02450, Republic of Korea)

Abstract

This study presents and discusses the home delivery services in stochastic queuing-inventory modeling (SQIM). This system consists of two servers: one server manages the inventory sales processes, and the other server provides home delivery services at the doorstep of customers. Based on the Bernoulli schedule, a customer served by the first server may opt for a home delivery service. If any customer chooses the home delivery option, he hands over the purchased item for home delivery and leaves the system immediately. Otherwise, he carries the purchased item and leaves the system. When the delivery server returns to the system after the last home delivery service and finds that there are no items available for delivery, he goes on vacation. Such a vacation of a delivery server is to be interrupted compulsorily or voluntarily, according to the prefixed threshold level. The replenishment process is executed due to the ( s , Q ) reordering policy. The unique solution of the stationary probability vector to the finite generator matrix is found using recursive substitution and the normalizing condition. The necessary and sufficient system performance measures and the expected total cost of the system are computed. The optimal expected total cost is obtained numerically for all the parameters and shown graphically. The influence of parameters on the expected number of items that need to be delivered, the probability that the delivery server is busy, and the expected rate at which the delivery server’s self and compulsory vacation interruptions are also discussed.

Suggested Citation

  • Subramanian Selvakumar & Kathirvel Jeganathan & Krishnasamy Srinivasan & Neelamegam Anbazhagan & Soojeong Lee & Gyanendra Prasad Joshi & Ill Chul Doo, 2023. "An Optimization of Home Delivery Services in a Stochastic Modeling with Self and Compulsory Vacation Interruption," Mathematics, MDPI, vol. 11(9), pages 1-34, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2044-:d:1132774
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    References listed on IDEAS

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    1. Yuying Zhang & Dequan Yue & Li Sun & Jinpan Zuo & Bo Yang, 2022. "Analysis of the Queueing-Inventory System with Impatient Customers and Mixed Sales," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-12, May.
    2. Pinyi Yao & Mohamad Fazli Sabri & Syuhaily Osman & Norzalina Zainudin & Yezheng Li, 2023. "Consumers’ Continued Intention to Use Online-to-Offline (O2O) Services in Omnichannel Retail: Differences between To-Shop and To-Home Models," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
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    4. Yuying Zhang & Dequan Yue & Wuyi Yue, 2022. "A queueing-inventory system with random order size policy and server vacations," Annals of Operations Research, Springer, vol. 310(2), pages 595-620, March.
    5. Ma, Xin & Zhao, Xue & Guo, Pengfei, 2022. "Cope with the COVID-19 pandemic: Dynamic bed allocation and patient subsidization in a public healthcare system," International Journal of Production Economics, Elsevier, vol. 243(C).
    6. Yoon-Joo Park, 2023. "Understanding Customer Preferences of Delivery Services for Online Grocery Retailing in South Korea," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    7. Klein, Vienna & Steinhardt, Claudius, 2023. "Dynamic demand management and online tour planning for same-day delivery," European Journal of Operational Research, Elsevier, vol. 307(2), pages 860-886.
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    Cited by:

    1. Kathirvel Jeganathan & Thanushkodi Harikrishnan & Kumarasankaralingam Lakshmanan & Agassi Melikov & Janos Sztrik, 2023. "Modeling of Junior Servers Approaching a Senior Server in the Retrial Queuing-Inventory System," Mathematics, MDPI, vol. 11(22), pages 1-31, November.

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